People's Opinions Research Articles

Narratives Driven Bull Market: The Indian Stock Market 2020-2024

Abstract: Narratives play a key role in shaping the opinions of people. Advent of social media has accentuated the importance of narratives in economic and financial decisions. Narrative is a piece of information gone widespread due its acceptability and relevance to the masses. Frenzy during bull markets is usually associated with a flow of narratives building momentum. Objectives of this study is to examine the relationship between the bull market in the Indian Stocks during 2020-24 and the socio-economic narratives in circulation, effects of sustained favourable narratives during negative socio-economic event and quantification of the relationship. Only secondary data is used for this study. For collection of data, individual phrase, summarizing each narrative and relevant keywords for the phrase are used to make the search relevant and get precise textual count. Multiple regression model is used for this study to test the existence of relationship between Nifty 50 Index and narratives. The study indicates that the rise in Indian stocks during 2020-24 is explained by the independent variables - ‘Atmanirbhar Bharat’ and ‘India, Emerging Manufacturing Powerhouse’, individually and collectively

Conceptualisations of peace, its benefits, and strategies related to political orientation among Colombians

Political orientation has been shown to affect the opinions of ordinary people when it comes to socio-political issues. In Colombia, 74% of citizens indicated that they did not identify with any political party; however, opinions against and in favour of peace and its processes are characterised by a dynamic of constant tension among citizens, similar to that among the country’s political parties: left, right, and centre. The purpose of the present study was to identify conceptualisations about peace, its benefits, and the strategies to achieve it after the peace agreement signed in 2016 between the government and the FARC guerrilla based on the political orientation reported by the participants. Textual data were analysed using KH-Coder software to identify co-occurrence networks of peace conceptualisations, benefits, and strategies. A total of 346 men and women participated in the study. Results show differences among the conceptualisations of peace and the peacebuilding process among supporters of each political orientation, including apolitical participants, although right-wing participants were the most differentiated. Results are discussed.

Exploring the Feasibility and Acceptability of Technological Interventions to Prevent Adolescents' Exposure to Online Pornography: Qualitative Research.

Amid growing concern over children's access to online pornography, policy makers are looking toward new and emerging technological concepts for unexplored solutions including artificial intelligence and facial recognition. This study sought to explore and ideate emerging technological interventions that are feasible, acceptable, and effective in preventing and controlling the exposure of young people to online pornographic material. We conducted a series of qualitative co-design workshops with both adult (n=8; aged 32-53 years) and adolescent participants (n=4; aged 15-17 years) to ideate potential technological interventions that are feasible, acceptable, and effective at preventing and controlling the exposure of young people to online pornographic material. A story stem methodology was used to explore participants' attitudes toward two unique technological prototypes. Participants expressed a generally favorable view of the proposed technological concepts but remained unconvinced of their overall utility and effectiveness in preventing the intentional viewing of pornography by young people. Age-appropriate parent-child conversations remained participants' preferred approach to mitigating potential harms from pornographic material, with parents also expressing a desire for more educational resources to help them better navigate these discussions. User privacy and data security were a primary concern for participants, particularly surrounding the use and collection of biometric data. Internationally, policy makers are taking action to use age assurance technologies to prevent children's access to online pornography. It is important to consider the needs and opinions of parents and young people in the use and implementation of these technologies. Participants in this study were generally supportive of new and emerging technologies as useful tools in preventing the accidental exposure of young people to online pornographic material. However, participants remained less convinced of their ability to avert intentional viewing, with substantial concerns regarding technological efficacy, adaptability, and user privacy. Further, co-design and prototype refinement are needed to better understand user acceptability and comfortability of these new technological interventions, alongside additional research exploring sociocultural differences in information needs and user experiences.

Transect Walk in the Community, a Tool to Understand Community Resources by Medical Undergraduates of an Academic Institution

Introduction: A transect walk is a methodological walk in a well-defined pathway within a particular community/society while simultaneously drawing attention to the location of the community, distribution of resources, different social problems, and the opinion of local people regarding those problems. It is a well-accepted method related to participatory research action. However, the transect walk should have been utilized in the context of undergraduate medical education. Thus, we conducted this study to understand the feasibility and utilization of transect walks in undergraduate medical education. Methodology: We conducted a transect walk activity involving 25 undergraduate students in a village under the rural field practice area of the Department of Community Medicine and Family Medicine, All India Institute of Medical Sciences (AIIMS), Bhubaneswar. We prepared a checklist before conducting the transect walk based on available literature. The checklist was prepared for conducting a resource type of transect walk. The students were divided into four small groups and finally prepared a common diagram after merging all initial diagrams for better understanding and utilization of the activity. Results: The student identified different housing types, various water sources, and places for garbage disposal. They also identified important institutions like banks, local administration offices, and schools. The problem such as the absence of a wastewater disposal system, was identified during this activity. Conclusion: Students utilized the transect walk to understand the various public health issues and resources. This method was found to be an effective way of understanding different community resources.

A Review on the Impact of Social Media and the Internet on Consumer Purchasing Decisions

This essay's goal is to examine the nuanced effects of social media and the internet on consumers' decision-making processes while making purchases. Due to the quick advancement of Internet technology and the enormous popularity of social media platforms, social media serves as a vital forum for customer interaction and communication as well as the formation of opinions that have a significant impact on consumers' decision-making processes when making purchases. A significant quantity of information about how social media and the Internet affect consumer buying decisions has been gathered through sample analysis and literature reviews. The research framework is established in the literature review portion. The data collection and analysis of the earlier samples was utilized in the sample analysis phase to validate the research findings and identify the precise mechanisms by which social media and networks influence consumer purchase decisions. The following factors primarily illustrate how social media and the Internet affect consumer purchasing decisions: First, social media offers a wealth of product information via e-live broadcasting and other channels. Users may explore, search, and compare products to gain a more thorough understanding of them and to assess them more critically, enabling them to make better purchasing decisions. Second, social media advertising, word-of-mouth marketing, and user reviews have a big influence on consumers' purchasing decisions, which are frequently impacted by other people's assessments and opinions. Furthermore, social media influences consumers' psychological views and emotional reactions, which in turn influences their purchasing decisions.

The Acceptance of Mobile Applications for Government Services (MG- App): A Study From Users’ Perspective

Purpose: The objective of this study is to identify and analyze various factors that influence users' acceptance of mobile government applications (mG-Apps). Methodology: This study has constructed a research model grounded on the Unified Theory of Acceptance and Use of Technology (UTAUT). Further, information quality and trust, two vital constructs, have been added to the UTAUT to enhance the predictability of the model. Data collected from a sample size of 212 from Bangladesh has been used to test the model. Findings: We have employed the popular structural equation modeling (SEM) to assess the data. Our results suggest that the significant elements impacting users' acceptance of mG-Apps are performance expectancy, effort expectancy, facilitating conditions, information quality and trust. In contrast, social influence is identified as an insignificant predictor. Practical Implications: This research will assist different government agencies, policymakers, and practitioners in the creation of timely and effective policies to develop and promote myriad mG-Apps to render services to the citizens. Originality/Value: This research has offered an innovative framework to assess the acceptance of mG-apps by the citizens. This unique model has been constructed by expanding UTAUT with two key contextual constructs such as information quality and trust. We believe, this study will contribute to the extant body of theory surrounding the use of mobile government, e-government, and mobile applications development. Limitations: This study only looks at the opinions of people in Bangladesh, hence the researchers recommend that the proposed study model should be validated by using data collected from other similar countries.

Examining of Social-Emotional and Moral Characteristics of a Child with Williams Syndrome and a Typically Developing Peer

Introduction: This paper compared the social-emotional and moral developmental characteristics of a boy with Williams syndrome and a typically developing girl. Method: The sample consisted of two eighth graders and their mothers. Participants were recruited using purposive criterion sampling. This qualitative study adopted a holistic multiple-case design because it compared the interrelated social-emotional and moral developmental characteristics of two different profiles of children. Findings: Data were collected using the Social-Emotional and Character Development Scale (SECDS), semi-structured interview questions, spontaneous conversations, and observations. The quantitative data were analyzed using descriptive analysis, while the qualitative data were analyzed using content analysis. The results show that the boy with Williams syndrome is more successful than his typically developing peer in making plans and helping others, but less successful in making eye contact, making friends, and following rules in the absence of authority. The typically developing girl has better internal control in following rules, behaving politely and respectfully, and exhibiting moral behaviors because she wants to. The findings show that both children have relatively developed social-emotional and moral characteristics. Discussion: The fact that the boy with Williams syndrome was more successful in expressing his wants and needs, planning and organizing, helping, maintaining communication with strangers, and choosing positive behaviors compared to his typically developing peer; behaving according to people's opinions, having approval anxiety, making decisions, self-regulation, following rules in the absence of authority, peer relations, adaptation, understanding people's feelings, and having difficulty in distinguishing good and bad intentions were in line with the literature. The fact that the typically developing girl exhibited more extreme social actions such as initiating communication; making eye contact for a long time; apologizing for misbehaviors; following rules with internal control and exhibiting positive behaviors provided different information from the literature. These results provide a new and different perspective to the results that children with Williams syndrome exhibit more social behaviors than their typically developing peers.

LEARNING THEORY ACCORDING TO HUMANISTIC PSYCHOLOGY AND ITS IMPLEMENTATION IN STUDENTS

This research describes learning theory according to Humanistic Psychology and its implementation. Through the application of library research or library research (study) methods, the implementation of this research begins with problem formulation, focus preparation, study and then reading various reference libraries sourced from e-journals and digital books by understanding and studying them seriously until reaching the writing and organizing process. material. The research results show that humanistic learning theory places great emphasis on the importance of the content of a series of learning activities. The aim of learning according to humanistic theory is to make people more humane. Students are expected to be independent, brave, and not constrained by other people's opinions. They are also expected to manage their personality responsibly while adhering to all rules, norms, discipline and ethical standards. Thus, the integration of humanistic psychology into education can help students understand themselves as humans.

Improving Students' Social Skills Through Cooperative Learning: The Effectiveness of the Teams Games Tournament (TGT) Model

Improving Students' Social Skills Through Cooperative Learning: The Effectiveness of the Teams Games Tournament (TGT) Model. This research aims to describe the improvement in students' social skills after carrying out the learning process by implementing the Teams Games Tournament (TGT) type cooperative model on vibration and wave material. The type of research used is a pre-experimental design with a one-shot case Study design. In this research, the subjects used were students in class VIII of one of the State Middle Schools in Sidoarjo. The indicators used in this research are being able to socialize with other people, being able to interact confidently, showing concern, reporting things accurately, completing tasks, avoiding bad behavior, respecting other people's opinions, controlling emotions, and being friendly. The results of the research show that all indicators have experienced a significant increase in the average social skills of students being well-trained as indicated by an increase in the percentage of students' skills at each meeting. At meetings I, II, and III respectively, the percentage increase was 52%, 71%, and 93%. Based on this, it can be concluded that Teams Games Tournament (TGT) type cooperative learning can be used to train students' social skills which is one aspect of cognitive development in vibration and wave material.

A Novel Approach for Sentiment Analysis of a Low Resource Language Using Deep Learning Models

Sentiment analysis is a process of dealing with people's opinions, remarks, and comments to extract valuable insights from them. Sentiment analysis can be used for various purposes like market analysis, campaign monitoring, decision-making, etc. In recent years, there has been much research on sentiment classification, particularly in English. However, these existing approaches used for the English language cannot be applied to the Urdu language. The substantial rise in communication traffic, including audio, text, video, and pictures, has significantly shifted the Internet of Things (IoT) from scalar to Multimedia Internet of Things (MIoT). So far, the integration of MIoT and NLP systems has received less attention, but it has evolved as a novel research paradigm for smart applications. This article proposes deep learning techniques for sentence-level Urdu sentiment analysis (Urdu SA) for MIoT. Our approach consists of various phases, i.e., data gathering, text preprocessing, model training, testing, and evaluation. A data set of 25 thousand Urdu reviews are used for training the proposed models. This data set is built by scraping various Urdu blogs and social media platforms, and some part of the IMDB data set is used after translating it into the Urdu language. Native Urdu speakers do data annotation, and various preprocessing techniques, i.e., tokenization, stemming, etc., are applied. The two deep learning models, i.e., Convolutional Neural Network (CNN) and Long Short-term Memory (LSTM), are trained on preprocessed Urdu reviews to find their sentiments in this article. Both models are tested using various combinations of hyperparameters, and each model's accuracy and F1 scores are evaluated. The study results show that the LSTM model outperforms the CNN model by achieving a 96% accuracy and 91% F1 score.

What Are the Differences of Luxury Goods Purchasing Behaviors of Hetero- Geneous Consumer Groups?

In today's world, many scholars have begun to research the different benefits that luxury goods bring to society. Although luxury goods research-only appeared in the last hundred years, it has an absolute voice in today's trend circle and even involves other industries. However, few people have researched the impact of different people's characteristics on luxury consumption, so I choose to research the difference in luxury purchase behaviors among heterogeneous groups. I believe this research will provide a clear picture of how this difference arises and what the implications are. This research provides empirical evidence for the differences of the luxury goods purchasing from heterogeneous consumer groups. This model could be applied to empirical studies of Economics and Sociology. In practice, the empirical findings from some surveys, data research and some expertise provide convincing evidence for the reliability of the model. It can be used that people with different characteristics have different purposes when acquiring luxury goods. Although there are some limitations in the current study, the findings could give researchers and practitioners suggestions to the impact of population heterogeneity on luxury purchases. Specifically, this study demon st-rates that gender, age, personal or family income, job content and local development level will all influence people's different opinions on luxury brands, so they have different purposes for using luxury goods in China.

MARKETING RESEARCH OF ENVIRONMENTAL CULTURE POPULATION OF IZHEVSK

The article presents the results of a marketing study of the environmental culture and behavior of the population of the city of Izhevsk in 2023. The goals and objectives, the population under study, the size and structure of the sample, and the analysis tools are defined. An assessment of the actual sample obtained was given, on the basis of which a database was formed and an assessment of environmental culture and behavior was carried out. This study was initiated by the author of the article with the aim of testing a previously developed marketing model for assessing the level of environmental culture and behavior of the population “cognition-feeling-action”. The study became necessary to substantiate a number of provisions in the field of: environmental management and management against the backdrop of growing environmental problems in Russia and its regions; systematization of ideas about corporate social responsibility from the standpoint of justifying the rationality of its application; formation of marketing methodology for studying environmental culture and behavior of the population. Based on the results of a mass sample survey, a general and segment-by-segment assessment of the environmental culture and behavior of the population of Izhevsk in 2023 was given. The survey made it possible to record a number of indicators of the cognitive, affective and behavioral reaction of the population in the environmental sphere in general and by segment: “young” population (18 -44 years old); “middle-aged” population (45-59 years old), “elderly” people (over 60 years old). The structure of knowledge of environmental projects and programs, public and state bodies/institutions responsible for the state of the environment in the city of Izhevsk and Udmurtia has been studied. An assessment of the environmental situation in the city of Izhevsk by segment was recorded, and differentiation of people’s opinions regarding the consequences of environmental deterioration and the relevance of environmental problems was noted. An indirect study of the behavioral attitudes of a “responsible citizen” made it possible to assess the norms of behavior of the population and their readiness to act. Based on people's opinions, a rating of the relevance of measures to improve the environmental situation in the city of Izhevsk and the Urals was formed. As a result, an assessment of ecological culture is given by segments in the “cognition-feeling-action” model and illustrated graphically.

Impact of Feature Extraction on Multi-Aspect Sentiment Classification for Livin'byMandiri Using BiLSTM

Mobile applications are currently experiencing very rapid development including applications in the financial sector. Livin'byMandiri is one of the mobile applications used to transact online without the need to go to the bank. This makes it very easy for customers to transact anywhere and anytime. Application reviews are user reviews that reflect the reputation of the application among the community, these application reviews can be found anywhere, so many companies use application reviews as a reference in developing their applications in the future. However, people's opinions on apps can vary and are influenced by many aspects. Therefore, aspect-based sentiment analysis can be applied to app reviews to get better results. This research focuses on analyzing the sentiment of Livin'byMandiri app reviews on the Google Play Store. In this research, the Bidirectional LSTM (Bi-LSTM) method is combined with TF-IDF and Word2Vec feature extraction. From the results of the experiments that have been carried out, the best accuracy results for the access aspect are 81.18% and F1-Score of 81.03%, the service aspect produces an accuracy of 82.82% and F1-Score of 82.74%, and for the convenience aspect produces an accuracy of 77.28% and F1-Score of 77.19%. In this experiment, it is also found that feature extraction has an effect on sentiment analysis, this is evidenced by an increase in accuracy of more than 1% for each aspect when TF-IDF feature extraction is added and also the combination of TF-IDF and Word2vec in the initial model built using only the Neural Network embedding layer.

Understanding variations in LGBTIQ+ acceptance across space and time: The importance of norm perceptions and political dynamics

AbstractThe 21st century has seen dynamic social, legal, and political change regarding the rights and acceptance of lesbian, gay, bisexual, trans, intersex, and queer/questioning (LGBTIQ+) people. This article argues that social norm perceptions—perceptions of other people's opinions in a given social context—and the political dynamics that shape those perceptions are important for understanding differences in LGBTIQ+ acceptance across sociopolitical environments and time periods. Instead of emphasizing “actual” norms—people's opinions on average in different groups—we focus on norm perceptions since people often conform to the attitudes and behaviors held and endorsed by others to achieve social belonging and accuracy in their judgments. We review evidence regarding structural (e.g., laws and institutional decisions), group (e.g., social identities), and individual (e.g., ideology) factors that influence perceptions of, and conformity to, norms of LGBTIQ+ inclusion or exclusion. Drawing on this review, we consider how political dynamics—the ways that civic and political actors make salient, promote, and frame issues, values, and norms in contesting or maintaining the status quo—influence interpretations of, and responses to, norm signals, thus shaping differences in LGBTIQ+ rights norms across contexts and time periods. In conclusion, we chart future areas for research, policy, and practice.

Assessment of Measures of Central Tendency and Dispersion Using Likert-Type Scale

This research aims to analyzing measures of central tendency (mean, median, and mode), and measures of dispersion (variance and standard deviation) and to graphically present the simulated data using Likert scale measurement. Mean (μ), Median (Md), Mode (Mod), Variance ( ), and Standard deviation (σ) have been calculated on simulated data using 5 and 4 points Likert scales with four different statements. Data analysis is key in any development especially when there is need to understanding people's opinions on a particular issue that has attracted the attention of a specific population. Likert scale of measurement is one of the methods that use statement problems in collecting statistical data in which the respondent agrees with the opinion or disagrees. Considering the 5-point Likert scale, the measure of dispersion in which statement two had the highest standard deviation of 1.53 and the mean value of 2.35 being the least of the mean values implies the significant spread of the data across opinions. Statement one of the 4-points Likert scale has two modes (bimodal) where the opinions “Strongly Agree” and “Agree” have ties of 20 responses each. This implies that interpretation of such data may be difficult, because the data can be roughly split into two different groups, and can be useful for further research to find a mode to draw conclusions. The best form of Likert scale can be recommended for 5-point Likert scale so as to give room for undecided opinion. Other measures of central tendency and dispersion can be useful in interpretation but the recommended statistical tool is standard deviation as it shows the spread of the opinions about the mean.

What Factors Affect People's Opinions Toward COVID-19 and Contact Tracing Apps in the United States

What Factors Affect People's Opinions Toward COVID-19 and Contact Tracing Apps in the United States

A Novel Perspective on the Quality Index for Fused Satellite Images

Blind Image Quality Assessment for Remote Sensing Applications has garnered a significant amount of interest from the community, presenting a problem that is both persistent and difficult to solve. The current quality indicators are, for the most part, in agreement with each individual's subjective perception. Traditional handcrafted quality measures focus on detecting low-level features such as contour, edge, color, texture, and shape. These are the attributes that will be measured. Nevertheless, it is possible that they will disregard the essential semantics that lie behind the warped image. Within the scope of popular deep learning, the process of acquiring multilayer features is a straightforward exercise. The unfortunate reality is that a significant number of these models either ignore superficial traits or focus only on high-level variables, which ultimately leads to poor prediction performance. In order to successfully portray varying degrees of distortion, the fusion features make advantage of the laws that govern the human visual system in order to extract both local and global components of information. In conclusion, the ultimate quality score is determined by considering the features of both the local and global levels. In this investigation, we developed two different NR-IQA methods. In one, a markov random field is used, while in the other, a sparse approximation variational autoencoder is established as the foundation. The effectiveness of our work is shown by the evaluation of multiple IQA datasets, where our model consistently generates findings that are at the leading edge of the field. This evaluation does not make use of any quality standards; rather, it compares it against a variety of well-known cutting-edge techniques and average opinion ratings based on the opinions of different people. Quality ratings are accurately predicted by the regression models that have been provided.

Same Sex Marriage and the Laws of Marriage in Nigeria: a Jurisprudential Review

Objective: This paper has therefore, examined the legality of Same Sex Prohibition Act, 2013 being applicable law against Same Sex Marriage in Nigeria Theoretical Framework: Marriage, according to court in the case of Hyde v Hyde ought to be between a man and a woman for life to the exclusion of all others either till death do them part or legal divorce but the position is no longer the same presently across the world because the marriage institute has been liberated and people of the same sex can therefore be joined together as husband and wife and the union can therefore, be referred to as Same sex Marriage or Same Sex Marriage as the case may be. Method: The study adopted a qualitative approach while using a doctrinal methodology by sampling opinion of married people in the the Osun State Community in Nigeria. Results and Discussion: The results obtained revealed [synthesize the main results of the research]. In the discussion section, these results are contextualized in light of the theoretical framework, highlighting the implications and relationships identified. Possible discrepancies and limitations of the study are also considered in this section. Research Implications: The current same sex law in Nigeria is discriminatory and does not reflect current global trends. Hence, there is a need for the law to be abolished while a more encompassing law covering different aspect of marriage be adopted. Originality/Value: This study contributes to the phenomenon of same sex marriage, advocating its repealing while promoting the need for a more encompassing law to be adopted.

Application of Moderation Value on Legal Attitudes to Transact with Conventional Banks

This article aims to analyse the legal attitude of the community towards conventional bank interest and the application of this legal attitude in society. Islam forbids all forms of transaction applications of buying and selling or lending with usury systems. However, the mechanisms and systems of modern banking transactions are not yet known comprehensively in Islam and give rise to differences of opinion among Muslims. This difference of opinion is inseparable from their paradigm of thinking, namely textual and contextual ways of thinking. This case can be categorised as a matter of ijtihâdiyyah khilâfiyyah. This difference of opinion is very likely to occur because the rules of muamalah matters are actually allowed in sharia and become haram (forbidden) until there is evidence that prohibits it. Problems arise when the understanding that is believed to be related to sharia economic law, so that it feels that its understanding is the absolutely correct understanding, and then considers it a mistake if there are other people's opinions differ from it. The emergence of intolerant polemics like this can spark the fire of discord and cause distorted perceptions in the community related to religious harmony. Using a sociological approach, this article analyses the legal attitude towards conventional banks and its application in social life. The results of the study show that moderation is needed in viewing differences in legal attitudes related to bank interest so as to present a tolerant dogmatism of society and be able to avoid divisions due to intolerant attitudes.

Efficiency improvement and application prospects of solar photovoltaic power generation

The background of efficiency improvement and application prospects of solar PV power generation reflects a dynamic and evolving landscape. As technology continues to advance and as society places greater emphasis on sustainability and clean energy, solar PV is expected to play an increasingly significant role in meeting the worlds energy needs while mitigating the environmental impact of energy production. This paper is mainly about how to improve the efficiency of solar photovoltaic power generation and the application of solar power generation. We put together an article mainly by looking up technology and summarizing other peoples opinions. Among them, we have studied the principle of solar power supply systems in the first part. The author analyzed how to choose monocrystalline silicon and polysilicon and how they can improve the efficiency and the use of HJT batteries and PERC solar cells. Both HJT and PERC applications can greatly improve efficiency